code: def _filter_trainable(param_list: List[Any]) -> List[Any]:
      """
      Keep on the trainable parameters of the model.
      """
      return [x for x in param_list if x.requires_grad]
  
file_path: vissl/vissl/optimizers/param_groups/default.py
imports: import logging
  from typing import Any, Dict, List
  import torch.nn
  from fvcore.common.param_scheduler import ParamScheduler
  from vissl.config import AttrDict
  from vissl.optimizers.param_groups.registry import register_param_group_constructor
  from vissl.utils.misc import is_apex_available
label_desc: Use image node_id 2 for calling a global function with example usage: _filter_trainable(param_list) and returns: unknown